Ron Bekkerman
Artificial Intelligence · 2003–2011
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #9,730 of 35,345 by trust here, #11,072 by citations
- Natural Language Processing — 7 citations into it
- Information Retrieval & Search — 5 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Ron Bekkerman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Naftali Tishby
- Noam Slonim
- C. Burges
- Nir Friedman
- Fernando C Pereira
- Gideon S. Mann
- John D. Lafferty
- Robert E. Schapire
- Vladimir Naumovich Vapnik
Who trusts Ron Bekkerman overall
- Dan Alistarh
- Isabelle M Guyon
- Ohad Shamir
- Jonathan D. Rosenblatt
- Tianqi Chen
- Philip Chen
- Girish Chandrashekar
- Pieter Hooimeijer
- Aryan Mokhtari
- Yutaka Matsuo
Papers from Ron Bekkerman's perspective
Ordered by how strongly the researchers Ron Bekkerman trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Information Theory: 1948-1998 - Guest Editorial
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- The Nature of Statistical Learning Theory
- Going deeper with convolutions
Their papers
- Scaling up machine learning: parallel and distributed approaches (2011) — 451 citations
- Disambiguating Web appearances of people in a social network (2005) — 323 citations
- Distributional Word Clusters vs. Words for Text Categorization (2003) — 348 citations